Remediation of orphaned sites inundated with wood preservatives (pentachlorophenol & creosote), and detailed environmental impact assessment of dichloro-octyl-isothiazolinone (DCOI) on soil core and groundwater

There is a pressing need for studies centered on the impact assessment of emerging wood preservatives and the remediation of orphaned sites. The present proposal describes a dual-purpose research project. The project aims to; (i) apply a modified in situ chemical oxidation technique for the removal of pentachlorophenol (Penta) and creosote compounds in orphaned sites […]

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Perception pipeline for automated compound sanding of gypsum plasterboard

Nowadays, many building contractors use modular construction, where various parts of a building are partially or completely built on an assembly line and then put together on the delivery site. Building interior modules often involve building and finishing plasterboard walls, including closing joints between panels and hiding fasteners or defects. To do so, a gypsum-based […]

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Structural engineering of non-covalently fused-ring electron acceptors for high performance organic solar cells.

Considering the continually growing energy demands and concerns about climate change due to anthropogenic CO2 generated from fossil fuels, there has been a global endeavor to transition towards low-carbon renewable energy sources, particularly photovoltaic technologies. Organic solar cells (OSCs) are ideal candidates for low-cost PV technologies thanks to the possibility of large-scale device fabrication by […]

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Process Improvement and Marketing Project

The goal for this project is to obtain partial funding for our intern student who we will have until the end of December 2022. Their duties will consist mainly of process improvement, as well as marketing, advertising and business acquisition. This approach will be to not only increase our current market of cliental, but also […]

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In vitro and in vivo evaluation of silicon-based quantum dot nanoparticles

Silicon quantum dots (SiQDs) are semiconductor nanoparticles with sizes ranging from 1 to 10 nm that show great promise for photonics, microelectronics, and fluorescent bio-imaging considering their ability to fluoresce from blue to near infrared light. In comparison to conventional quantum dots (which can release toxic metals), Si quantum dots are expected to be safer […]

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Impact of environmental factors on spontaneous reporting trends and safety signal detection in the EudraVigilance database

Changes brought to the ecosystem and geopolitical environment can have an effect on several fields including the healthcare system. Recently, we observed the impact that COVID-19 pandemic has had on the healthcare workers’ practices and people’s behaviour regarding their health status. Changes in spontaneous reporting trends were also observed. Lately, Europe has also witnessed the […]

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Investigating the biophysics and structural basis for state dependent drug blockade of persistent/late sodium current (INa(P)) in the heart using photoactivatable crosslinking unnatural amino acidsYR2

Electrical activity in the heart is controlled by the concerted activity of many proteins called ion-channels that regulate the transfer of different ions across cell membranes. Recently, researchers in biomedical science have identified that a particular component of sodium carrying ion-channel activity (called the persistent or late sodium current also known as INa(P)) played a […]

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Développement d’un système THz automatisé de contrôle de la qualité

Aujourd’hui, le processus actuel de contrôle de la qualité dans les industries alimentaires et de l’électronique imprimée ne répond pas parfaitement aux besoins des industriels. Le plastique, à titre d’exemple, est un contaminant qui est très nuisible et complexe à détecter pour les industriels du secteur alimentaire avec les technologies actuelles. Au cours des deux […]

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Apprentissage en continu de modèles prédictifs à partir de données d’électrocardiogrammes

Les électrocardiogrammes (ECG) jouent un rôle majeur dans le diagnostic d’anomalies du rythme cardiaque. Cependant, la quantité de données produites pour suivre des patients sur de longues durées devient intraitable. Heureusement, l’apprentissage automatique (ML) a été appliqué avec succès sur des tâches comme la détection de battements et la classification de type de battements. Suivant […]

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Deep Neural Networks for Local Editing of Facial Polygon Meshes

Artists in the industry are eager for tools to simplify the modeling of faces for 3D characters. For a while, researchers, including ourselves, used blend shape style models for reconstructing and modeling faces. More recently, researchers investigated using Artificial Intelligence (AI) models, again mostly for face reconstruction from images. AI is more able to properly […]

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